Postdoctoral Researcher - Computer Science - XR, AI and HCI

• Conducts research at the intersection of Extended Reality (XR), Artificial Intelligence (AI), and Human-Computer Interaction (HCI), emphasizing intelligent, accessible, safe, trustworthy, reproducible, and generalizable immersive technologies
• Designs, develops, and evaluates XR systems and AI/ML methods for accessibility and rehabilitation, balance and fall-risk assessment and mitigation, adaptive multimodal feedback, cognitive and behavioral modeling, privacy and security, and XR generalizability and reproducibility
• Develops data-driven methods using multimodal data from XR and related sensing technologies, including head/controller motion, eye tracking, body movement, balance, gait, and other behavioral or physiological measures, as appropriate
• Designs experimental XR applications, research prototypes, software tools, datasets, and infrastructure supporting systematic experimentation, replication, and evaluation across XR hardware, software platforms, users, and environments
• Contributes to human-subject research involving immersive technologies, including protocol development, data collection, analysis, and dissemination, in accordance with applicable IRB and research-compliance requirements
• Provides advanced technical and research mentorship to Ph.D., M.S., and undergraduate researchers in the eXtended Reality and Intelligence (XRei) Laboratory and help coordinate related XR/AI projects and milestones
• Coordinates scientific and technical activities with multi-institutional academic, clinical, and industry collaborators; support joint studies, shared research infrastructure, manuscripts, and collaborative research initiatives
• Develops reusable and reproducible research artifacts, including software, datasets, experimental protocols, documentation, and analysis pipelines, to facilitate replication, generalization, and broader adoption of XR research
• Generates preliminary results and technical materials for competitive external proposals and help develop new multi-investigator and multi-institutional research directions in XR, AI, accessibility, healthcare/rehabilitation, and human-centered computing

• Advanced knowledge in one or more areas relevant to the position, including XR (VR/AR/MR), AI/machine learning, HCI, computer vision, multimodal sensing, data analytics, or software engineering
• Knowledge of AI/ML methods and experience developing computational models from behavioral, sensor, motion, visual, or other multimodal data
  ¿ Able to design, implement, and evaluate XR applications or interactive systems using relevant development platforms and programming environments
• Able to conduct rigorous experimental research, including study design, statistical analysis, validation, and interpretation of quantitative and/or qualitative results
  ¿ Able to develop reproducible research software, data-processing pipelines, experimental tools, and technical documentation
• Able to mentor student researchers and coordinate research activities involving multiple projects, investigators, and external collaborators
• Able to collaborate effectively across computing, engineering, healthcare/rehabilitation, accessibility, and other human-centered research domains

• Ph.D. or equivalent doctoral degree in Computer Science, Computer Engineering, Information Science, Human-Computer Interaction, or a closely related discipline
• Demonstrated research experience in at least one of the following: XR/VR/AR/MR, AI/ML, HCI, computer vision, human-centered AI, accessibility, healthcare technologies, multimodal sensing, or software engineering
• Evidence of research productivity through peer-reviewed publications in relevant conferences or journals
• Experience developing XR applications using Unity, Unreal Engine, OpenXR, or comparable immersive-technology frameworks
• Experience with machine-learning and/or deep-learning frameworks and scientific computing or data-analysis environments
• Experience conducting human-subject studies involving interactive or immersive technologies is preferred
• Experience with research software development, open-source software, reproducibility, cross- platform systems, or collaborative grant/proposal development is preferred

Postdoctoral Researchers support teams of KSU faculty and students (undergraduate and graduate students), which engage with external…